19.5 Motion Edges -- Detection and Analysis

Chapter Contents (Back)
Motion, Discontinuity. Edges, Motion. Motion, Edges.

Haynes, S.M.[Susan M.], and Jain, R.C.[Ramesh C.],
Detection of Moving Edges,
CVGIP(21), No. 3, March 1983, pp. 345-367.
Elsevier DOI BibRef 8303
Time Varying Edge Detection,
ICPR82(754-756). BibRef
And: Combine Space and time edges by multiplying space edge magnitude by the time difference magnitude. Use the Sobel for the edge detector, and the difference between the frames for time. BibRef

Jain, R.,
Detection of Moving Edges,
CAIA84(142-149). BibRef 8400

Haynes, S.M., Jain, R.[Ramesh],
A Qualitative Approach for Recovering Relative Depths in Dynamic Scenes,
CVWS87(66-71). BibRef 8700

Shah, M.A., and Jain, R.C.,
Detecting Time-Varying Corners,
CVGIP(28), No. 3, December 1984, pp. 345-355.
Elsevier DOI BibRef 8412
And: ICPR84( 2-5). AND of Corner detector and Temporal changes. BibRef

Hayden, C.H., Gonzalez, R.C., Ploysongsang, A.,
A Temporal Edge-Based Image Segmentor,
PR(20), No. 3, 1987, pp. 281-290.
Elsevier DOI BibRef 8700

Topa, L.C.[Leonardo C.], Schalkoff, R.J.[Robert J.],
Edge Detection and Thinning in Time-Varying Image Sequences Using Spatio-Temporal Templates,
PR(22), No. 2, 1989, pp. 143-154.
Elsevier DOI BibRef 8900

Spoerri, A., and Ullman, S.,
The Early Detection of Motion Boundaries,
ICCV87(209-218). BibRef 8700
And: A1 only: MIT AI-TR-1275, May 1990.
WWW Link. Boundaries can be detected before the flow field is computed using motion data alone. BibRef

Bouthemy, P.,
A Maximum Likelihood Framework for Determining Moving Edges,
PAMI(11), No. 5, May 1989, pp. 499-511.
IEEE DOI A planar surface patch in 3D spatiotemporal space corresponds to an edge. This is derived by convolution of the data with predetermined masks. Occlusions are partially addressed? BibRef 8905

Spacek, L.A.[Libor A.],
Edge Detection and Motion Detection,
IVC(4), No. 1, February 1986, pp. 43-56.
Elsevier DOI BibRef 8602
The Detection of Contours and Their Visual Motion,
Ph.D.Thesis (Univ. Essex), 1986. Derivation of optimal edge detectors for moving edges. BibRef

Kahn, P.,
Local Determination of a Moving Contrast Edge,
PAMI(7), No. 4, July 1985, pp. 402-409. BibRef 8507
And: Extension:
Determining Temporal Persistence and Consistent Edge Motion from Natural Images,
DraftA gradient based approach in the image intensity domain. Similar to Thompson, and Nagel and others. BibRef

Kahn, P.,
Integrating Moving Edge Information along a 2-D Trajectory in Densely Sampled Imagery,
IEEE DOI BibRef 8800

Chen, W.G.[Wei-Ge], Nandhakumar, N.,
A Simple Scheme for Motion Boundary Detection,
PR(29), No. 10, October 1996, pp. 1689-1701.
Elsevier DOI Motion, Discontinuity. BibRef 9610

Kato, K., Ishiguro, H., Tsuji, S.,
Estimating Precise Edge Position By Camera Motion,
RA(12), No. 5, October 1996, pp. 824-829. 9610

Stein, A.N.[Andrew N.], Hebert, M.[Martial],
Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning,
IJCV(82), No. 3, May 2009, pp. xx-yy.
Springer DOI 0903
Combining Local Appearance and Motion Cues for Occlusion Boundary Detection,
PDF File. 0709
Using Spatio-Temporal Patches for Simultaneous Estimation of Edge Strength, Orientation, and Motion,
Reasoning about boundries. BibRef

Stein, A.N.[Andrew N.], Hebert, M.[Martial],
Local detection of occlusion boundaries in video,
IVC(27), No. 5, 2 April 2009, pp. 514-522.
Elsevier DOI 0904
Earlier: BMVC06(I:407).
PDF File. 0609
Occlusion boundaries, Edge detection, Contours, Motion analysis, Occlusion detection BibRef

Hoiem, D.[Derek], Efros, A.A.[Alexei A.], Hebert, M.[Martial],
Recovering Occlusion Boundaries from an Image,
IJCV(91), No. 3, February 2011, pp. 328-346.
WWW Link. 1102

Hoiem, D.[Derek], Stein, A.N.[Andrew N.], Efros, A.A.[Alexei A.], Hebert, M.[Martial],
Recovering Occlusion Boundaries from a Single Image,

Stein, A.N.[Andrew N.], Hoiem, D.[Derek], Hebert, M.[Martial],
Learning to Find Object Boundaries Using Motion Cues,

Jacobson, N., Freund, Y., Nguyen, T.Q.,
An Online Learning Approach to Occlusion Boundary Detection,
IP(21), No. 1, January 2012, pp. 252-261.

Ramírez-Quintana, J.[Juan], Chacon-Murguia, M.[Mario], Corral-Saenz, A.[Alma],
Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt Spiking Cortical Model,
Springer DOI 1608

He, X.M.[Xu-Ming], Yuille, A.Y.[Alan Y.],
Occlusion Boundary Detection Using Pseudo-depth,
ECCV10(IV: 539-552).
Springer DOI 1009

See also Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning. BibRef

Ernst, F., Wilinski, P., van Overveld, K.,
Dense Structure-from-Motion: An Approach Based on Segment Matching,
ECCV02(II: 217 ff.).
Springer DOI 0205
Start with edge matches, create surface to fill in dense structure. BibRef

Paletta, L., Sinclair, D., and Pinz, A.,
Classification of Edges under Motion,
HTML Version. 9705

Vaina, L.M.[Lucia M.], Grzywacz, N.M.[Norberto M.],
Testing computational theories of motion discontinuities: A psychophysical study,
Springer DOI 9205

Tihanyi, E.Z., and Barron, J.L.,
Spatio-Temporal Edge Focusing,
ICPR90(I: 213-216).
IEEE DOI edges and tracking them through time sequence. BibRef 9000

Rubin, J.M.[John M.], Richards, W.A.,
Boundaries of Visual Motion,
MIT AI Memo-835, April 1985.
WWW Link. BibRef 8504

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Motion Using Stereo Pairs or Depth .

Last update:May 6, 2024 at 15:50:14